[HTML][HTML] Filled Elastomers: Mechanistic and Physics-Driven Modeling and Applications as Smart Materials
Elastomers are made of chain-like molecules to form networks that can sustain large
deformation. Rubbers are thermosetting elastomers that are obtained from irreversible …
deformation. Rubbers are thermosetting elastomers that are obtained from irreversible …
[HTML][HTML] Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity
Designing polymers with high intrinsic thermal conductivity (TC) is critically important for the
thermal management of organic electronics and photonics. However, this is a challenging …
thermal management of organic electronics and photonics. However, this is a challenging …
Modulating thermal and electrical conductivities in polymers: An approach toward extracting molecular design rules through atomistic simulations
H Yokoyama, H Shimakawa, A Kumada… - Applied Physics …, 2024 - pubs.aip.org
Polymers are extensively employed in diverse industries, including electrical equipment and
electronic devices. Recent technological advancements have intensified the demand for …
electronic devices. Recent technological advancements have intensified the demand for …
A Framework for a High Throughput Screening Method to Assess Polymer/Plasticizer Miscibility
L Smith, HA Karimi-Varzaneh, S Finger… - arXiv preprint arXiv …, 2024 - arxiv.org
Polymer composite materials require softening to reduce their glass transition temperature
and improve processability. To this end, plasticizers, which are small organic molecules, are …
and improve processability. To this end, plasticizers, which are small organic molecules, are …
AI-assisted inverse design of sequence-ordered high intrinsic thermal conductivity polymers
X Huang, CY Zhao, H Wang, S Ju - arXiv preprint arXiv:2402.11600, 2024 - arxiv.org
Artificial intelligence (AI) promotes the polymer design paradigm from a traditional trial-and-
error approach to a data-driven style. Achieving high thermal conductivity (TC) for intrinsic …
error approach to a data-driven style. Achieving high thermal conductivity (TC) for intrinsic …
Micromechanics of Thermal Conductive Composites: Review, Developments and Applications
G Wang, Y Huang, M Gao, Q Chen - Acta Mechanica Solida Sinica, 2024 - Springer
Micromechanics investigations of composites with fiber-shaped reinforcement are
extensively applied in the engineering design and theoretical analysis of thermal …
extensively applied in the engineering design and theoretical analysis of thermal …
Full‐scale modeling of chemical experiments
J Wang, G Li - Smart Molecules, 2024 - Wiley Online Library
Computational chemistry methods are playing an increasingly pivotal role in chemical
experiments. From quantum chemistry simulations to finite element simulations, researchers …
experiments. From quantum chemistry simulations to finite element simulations, researchers …
Transfer Learning with Diffusion Model for Polymer Property Prediction
Polymers are important and numerous. While the structure synthesis and property
annotation for polymers require expensive equipment and a long time of effort, small …
annotation for polymers require expensive equipment and a long time of effort, small …
ポリマー中の熱伝導現象の解明に向けた分子動力学的アプローチ
横山尋斗, 嶋川肇, 熊田亜紀子… - 電気学会論文誌A (基礎 …, 2024 - jstage.jst.go.jp
抄録 Understanding thermal conduction mechanism in polymer insulating materials is
crucial for the development of insulating materials with high thermal conductivity (TC). This …
crucial for the development of insulating materials with high thermal conductivity (TC). This …