scholarly journals Materials Data Infrastructure and Materials Informatics

Author(s):  
Joanne Hill ◽  
Arun Mannodi-Kanakkithodi ◽  
Ramamurthy Ramprasad ◽  
Bryce Meredig
Author(s):  
Joanne Hill ◽  
Arun Mannodi-Kanakkithodi ◽  
Ramamurthy Ramprasad ◽  
Bryce Meredig

2019 ◽  
Author(s):  
Vishwesh Venkatraman ◽  
John de Mello

2019 ◽  
Author(s):  
Malavika Raghavan ◽  
Beni Chugh ◽  
Anubhutie Singh

2016 ◽  
Vol 910 (4) ◽  
pp. 18-25
Author(s):  
S.S. Dyshlyuk ◽  
◽  
O.N. Nikolaeva ◽  
L.A. Romashova ◽  
◽  
...  

Author(s):  
Rebecca N. Dudovitz ◽  
Shirley Russ ◽  
Mary Berghaus ◽  
Iheoma U. Iruka ◽  
Jessica DiBari ◽  
...  

Abstract Purpose Understanding the full impact of COVID-19 on U.S. children, families, and communities is critical to (a) document the scope of the problem, (b) identify solutions to mitigate harm, and (c) build more resilient response systems. We sought to develop a research agenda to understand the short- and long-term mechanisms and impacts of the COVID-19 pandemic on children’s healthy development, with the goal of devising and ultimately testing interventions to respond to urgent needs and prepare for future pandemics. Description The Life Course Intervention Research Network facilitated a series of virtual meetings that included members of 10 Maternal and Child Health (MCH) research programs, their research and implementation partners, as well as family and community representatives, to develop an MCH COVID-19 Research Agenda. Stakeholders from academia, clinical practice, nonprofit organizations, and family advocates participated in four meetings, with 30–35 participants at each meeting. Assessment Investigating the impacts of COVID-19 on children’s mental health and ways to address them emerged as the highest research priority, followed by studying resilience at individual and community levels; identifying and mitigating the disparate negative effects of the pandemic on children and families of color, prioritizing community-based research partnerships, and strengthening local, state and national measurement systems to monitor children’s well-being during a national crisis. Conclusion Enacting this research agenda will require engaging the community, especially youth, as equal partners in research co-design processes; centering anti-racist perspectives; adopting a “strengths-based” approach; and integrating young researchers who identify as Black, Indigenous, and People of Color (BIPOC). New collaborative funding models and investments in data infrastructure are also needed.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yoshihiko Imanaka ◽  
Toshihisa Anazawa ◽  
Fumiaki Kumasaka ◽  
Hideyuki Jippo

AbstractTailored material is necessary in many industrial applications since material properties directly determine the characteristics of components. However, the conventional trial and error approach is costly and time-consuming. Therefore, materials informatics is expected to overcome these drawbacks. Here, we show a new materials informatics approach applying the Ising model for solving discrete combinatorial optimization problems. In this study, the composition of the composite, aimed at developing a heat sink with three necessary properties: high thermal dissipation, attachability to Si, and a low weight, is optimized. We formulate an energy function equation concerning three objective terms with regard to the thermal conductivity, thermal expansion and specific gravity, with the composition variable and two constrained terms with a quadratic unconstrained binary optimization style equivalent to the Ising model and calculated by a simulated annealing algorithm. The composite properties of the composition selected from ten constituents are verified by the empirical mixture rule of the composite. As a result, an optimized composition with high thermal conductivity, thermal expansion close to that of Si, and a low specific gravity is acquired.


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