Singapore

ATLAS is a platform jointly developed by Nanyang Technological University (NTU) and Ludwig Maximilian University of Munich (LMU). It aims to facilitate global students and lifelong learners to have more flexible and personalized learning experiences. Its current largest deployment is an international graduate degree program in Materials Science, NTU. The initial-deployed courses were launched in 2016. The platform has delivered 14 courses to approximately 800 global graduate students during these years. Some of the features of ATLAS include dynamic reasoning maps, clickable transcript linked with video, diverse assessments including instant auto-marking MCQs, peer-review essay, and peer-review presentation. In the future, ATLAS is planned to facilitate cross referencing among courses, in order to provide more opportunities for personalized learning. Bases on students’ feedback, the flexibility, clear structure, and sufficient explanation of the concepts made them enjoy the courses. Further developments of ATLAS will enhance platform stability, formalize training of faculty in learning design and course conversion, regularize course operation and maintenance support, and improve the interaction between faculty and students by deploying hybrid learning and live tutorial sessions.

MATERIALS FOR HUMANITY (MH 21)

Advanced Teaching, Learning, and Application System (ATLAS): a Tool for Graduate Student Training for Materials Science and Engineering

 **RTSS 2021** has successfully concluded. Hope you have enjoyed it, and look forward to seeing you next year in person.
    Announcement for the Awards:
 * Best Paper Award goes to: Monte Carlo Response-Time Analysis, Sergey Bozhko, Georg von der Brüggen, and Björn Brandenburg
 * Best Student Paper Award goes to: Automatic Energy-Hotspot Detection and Elimination in Real-Time Deeply Embedded Systems, Mohsen Shekarisaz, Lothar Thiele, and Mehdi Kargahi.
 * Best Solution Award for Industry Session goes to: Toward Real-Time Guaranteed Scheduling for Autonomous Driving Systems. Jinghao Sun, Tianyi Wang, Kailu Duan, Bin Lu, Jiankang Ren, Zhishan Guo, and Guozhen Tan.



IEEE RTSS 2021

The IEEE Real-Time Systems Symposium (RTSS) is the premier conference in the field of real-time systems, and is a venue for researchers and practitioners to showcase innovations covering all aspects of real-time systems, including theory, design, analysis, implementation, evaluation, and experience. 

technical paper

**Please view our Welcome to MH21 video.**

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To access the MH 21 Conference, [please register](https://mh21.mrs.org.sg/event/da3f9651-429f-4763-81b2-ebd7311b6bc8/websitePage:206f7605-1731-41f9-8421-56d3890f398f)

MH 21 is arranged around 6 themes that focus attention on pressing needs that should be addressed to enhance the well-being of communities and provide a forum for presenting breakthrough discoveries.

Development and implementation of novel and energy-efficient technologies to mitigate greenhouse gas emissions in the atmosphere, particularly CO2, is a vital step towards fossil fuel-based sustainable energy. Removal of greenhouse gases from dilute emissions has been identified as one of the seven chemical separations to change the world. Additionally, the requirement for long-duration human task performance in confined spaces such as submarines, spacecraft or underground citadels has made the removal of low-concentration CO2 (< 0.5%) a critical technology. Reducing energy consumption is another promising way to reduce CO2 emissions. The energy use for separation and purification processes accounts for 40 % of the total energy use in chemical industry. Especially, high-purity ethylene (C2H4) and propylene (C3H6), two most produced chemicals, inevitably contain low concentrations of acetylene (C2H2) and propyne (C3H4) during the production. Catalytic hydrogenation and solvent absorption are two main processes for alkynes removal but with high energy consumption and low removal rate. Thus, tremendous energy savings are expected by applying advanced adsorptive separation technologies based on porous materials. The key feature of these environmentally friendly, energy-efficient separation technologies is the porous adsorbent or porous media. Hybrid ultramicroporous materials (HUMs) with electronegative anion pillars lined up within the pore channels have been illustrated as promising adsorbents for gas separation and CO2 capture. Herein, HUMs with fine-tuned pore dimensions are synthesized via mechano-assisted method and used for efficient low-concentration carbon capture and alkynes removal from olefins via strong host-guest and guest-guest interactions.

Hybrid Ultramicroporous Materials for low-concentration carbon capture and alkyne removal from olefines

n this presentation, I will introduce the future development of chemical recycling as an initiative to solve the plastic problem.　In particular, I will introduce the outline of the actual chemical recycling process and explain the necessity of fusion of the arterial industry and the venous industry for the future based on the case of the technological development.

Integration of arterial and venous industries & promotion of chemical (feedstock) recycling

Sustainable nanomaterials, such as cellulose nanocrystals (CNCs) are rod-like nanoparticles obtained by sulfuric acid hydrolysis of cellulose fibres. Several properties of CNCs, such as its availability, low cost, high mechanical strength, large number of surface functional groups, high surface area per volume and aspect-ratio have led to an increasing interest in using them for adsorption and controlled release applications. Pristine CNCs were incorporated into hydrogel beads in order to eliminate the need for centrifugation. CNCs used in these hydrogel beads were also functionalized and the adsorption and controlled release characteristics were examined. CNCs incorporated alginate hydrogel bead systems possessed attractive adsorption properties both in batch and fixed bed column adsorption systems. These hydrogel beads could be regenerated and reused if necessary. Additionally, cellulose nanofibers (CNFs) were combined with CNCs and pulp fibers to produce filtration membrane suitable for the removal or organic and metallic contaminants. These sustainable nanomaterials possess attractive characteristics for the removal of various types of contaminants in wastewater systems. In addition, these nanomaterials can be modified and functionalized for selective adsorption of heavy metals and also to decontaminate water by incorporating anti-bacterial properties to these nanomaterials.

Sustainable Nanomaterials in Environmental Management Systems

Additive manufacturing is currently paving its way to industrial applications at high pace. While in medical applications there is already a widespread use of AM for customized solutions, the strongest innovation boost in AM is coming from aviation industry, followed by the energy sector, automotive industry, space and toolmaking industry. 
Relying on a strong academic and industrial background in advanced manufacturing technologies, Europe is a strong player in the development of AM machines, processes, materials and components. Major national and European R&D programs as well as company in-house activities have led to successful implementation of AM for functional parts made from polymers, ceramics and metals. 
The aim of this lecture is to highlight selected European AM research initiatives and their research foci, covering the different classes of materials and a wide range of AM processes. Major emphasis is placed on challenges towards industrial implementation, including quality assurance and process certification, high performance materials and structures, multi-material and multi-functional solutions, testing and characterization as well as standardization actions.


Recent Developments in Additive Manufacturing in Europe

Transition metal dichalcogenides (TMDs) QDs are fundamentally interesting because of the stronger quantum size effect with decreased lateral dimensions. 1-3 Here we demonstrate that biomineralization assisted bottomup strategy can be broadly applied for synthesizing a wide library of TMD QDs, Though this method, we found that increased sulfur defects correlated well with enhanced fluorescence and increased oxidative stress generation from MoS2 QDs, leading to cell imaging, and enhancing photodynamic effect. Further, we also developed other TMD QDs based nanoagents for photothermal assisted chemodynamic therapy of tumor and ptotoactivated antibacterial. Thus, our facile strategy shows the potential to motivate future design and optimization of many other TMDs QDs for biomedical applications.

Facile Library Construction of Transition Metal Dichalcogenide (TMD) Quantum Dots (QDs) for Biomedical Application

Rational, data-driven materials discovery has the potential to make research and development efforts far faster and cheaper. In such a paradigm, computer models trained to find patterns in massive chemical datasets would rapidly scan compositions and systematically identify attractive candidates. Here, we present several examples of our work on developing machine learning (ML) and deep learning methods capable of creating predictive models using a diverse range of materials data. As input training data, we demonstrate ML on both large computational datasets of DFT calculations, as implemented in the Open Quantum Materials Database (oqmd.org), and also experimental databases of materials properties. We construct ML models using a large and chemically diverse list of attributes, which we demonstrate can be used as an effective tool to automatically learn intuitive design rules, predict diverse properties of crystalline and amorphous materials, such as formation energy, specific volume, band gap energy, and glass-forming ability, and accelerate combinatorial searches.

Using Artificial Intelligence to Discover New Materials

no abstract, Symp Q, 8 July, 2021. 10:00 A.M.

Hologram Professor Program

As low-cost electrocatalysts for oxygen reduction reaction applied to fuel cells and metal-air batteries, atomic-dispersed transition metal-nitrogen-carbon materials are emerging, but the genuine mechanism thereof is still arguable. Herein, by rational design and synthesis of dual-metal atomically dispersed Fe,Mn/N-C catalyst as model object, we unravel that the O2 reduction preferentially takes place on FeIII in the FeN4/C system with intermediate spin state which possesses one eg electron (t2g4eg1) readily penetrating the antibonding π-orbital of oxygen (Figure 1).[1,2] Both magnetic measurements and theoretical calculation reveal that the adjacent atomically dispersed Mn-N moieties can effectively activate the FeIII sites by both spin-state transition and electronic modulation, rendering the excellent ORR performances of Fe,Mn/N-C in both alkaline and acidic media (halfwave positionals are 0.928 V in 0.1 M KOH, and 0.804 V in 0.1 M HClO4), and good durability, which outperforms and has almost the same activity of commercial Pt/C, respectively. In addition, it presents a superior power density of 160.8 mW cm−2 and long-term durability in reversible zinc–air batteries. We believe our work will brings new insight into the oxygen reduction reaction process on the metal-nitrogen-carbon active sites, undoubtedly leading the exploration towards high effective low-cost non-precious catalysts.

Carbon-Based Electrocatalyst: Synthetic Strategies and Chemical Environmental Regulations

Chromium deposition affects the performance of La0.6Sr0.4Co0.2Fe0.8O3 (LSCF) which is widely used as a cathode material for solid oxide fuel cell (SOFC). [1] However, more information is required to better understand the chromium poisoning process at the microstructural level. A SOFC stack composes of several components: cathode, electrolyte, anode, and Crcontaining steels or alloys as an interconnect (Fig. 1). Chromium evaporates from steels and is transported with are stream to a cathode where it deposits, which affects the electrochemical performance of the SOFC (Fig. 2).

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