research

Pathrudkar, S., Thiagarajan, P., Agarwal, S. et al. Electronic structure prediction of multi-million atom systems through uncertainty quantification enabled transfer learning. npj Comput Mater 10, 175 (2024). https://doi.org/10.1038/s41524-024-01305-7 

Ponkrshnan Thiagarajan, Trisha Sain, Susanta Ghosh, "Bayesian calibration and uncertainty quantification of a rate-dependent cohesive zone model for polymer interfaces", Engineering Fracture Mechanics,

Volume 309, 2024, 110374, ISSN 0013-7944, https://doi.org/10.1016/j.engfracmech.2024.110374.

Advancements in smart soft materials are enhancing the capabilities of robotic manipulators in object interactions and complex tasks. Mechanochromic materials, acting as lightweight sensors, offer easily interpretable visual feedback for localized stress detection, structural health monitoring, and energy-efficient robotic skins. Herein, an innovative mechanochromic soft end-effector capable of discerning local contact stresses during mechanical interactions with objects is presented and their relative position is ascertained.

Dear Colleagues,

Fluid Mechanics:

Variational dual solutions for incompressible fluids

Amit Acharya, Bianca Stroffolini, Arghir Zarnescu

Nonlinear Elasticity:

A hidden convexity of nonlinear elasticity

Siddharth Singh, Janusz Ginster, Amit Acharya

Wanliang Shan

Associate Professor of Mechanical and Aerospace Engineering

Syracuse University

Introduction

The Extreme Mechanics Letters (EML) Young Investigator Award (YIA) 2024 edition is organized by the journal and Elsevier to honor the best paper by a young scientist. The papers must have been published in volumes 63-69, from 2023 to 2024.

The award is made annually to the corresponding authors of the paper who received their Ph.D. no more than 10 years prior to the year of award. Corresponding authors who have yet to receive a Ph.D. will also be considered and self-nominations are allowed.