![]() |
University of Cambridge > Talks.cam > Lennard-Jones Centre > Thermal Conductivity of Complex Materials from Atomistic Simulations
Thermal Conductivity of Complex Materials from Atomistic SimulationsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Dr Fabian Berger. Thermal management is critical for a wide range of technological applications, from microelectronics to renewable energy harvesting and storage. In the design of complex materials for such applications, it is essential to predict their thermal conductivity alongside other functional properties. In this talk, I will illustrate complementary approaches to calculating the thermal conductivity of materials from atomistic simulations, combining lattice dynamics and molecular dynamics. I will demonstrate that the emergence of machine learning models trained on first-principles calculations and the development of a unified theory of heat transport for crystals and glasses allow one to perform, on one side, high-throughput explorations of the thermal conductivity across a broad chemical space, and, on the other side, very accurate and predictive calculations of heat transport for complex systems, such nanostructures, glasses, and nanostructured alloys. This talk is part of the Lennard-Jones Centre series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsPower and Vision Burna Boy Biography john's listOther talksIn Conversation with Emma Pinchbeck, Chief Executive, Climate Change Committee AI and Reproduction Workshop II: AI, Endometrial and Reproductive Health Integrable 1/2 BPS Nahm pole defects in N = 4 SYM Paediatric Medicine and Rheumatology Parabolic defects in a topological twist of 4D super Yang Mills Mean-field dynamics and training of deep transformers |