Results 241 to 250 of about 281,189 (325)

Wetting‐Driven Transfer of Flexible Ultra‐Thin Temperature Sensors

Advanced Electronic Materials, EarlyView.
A wetting‐driven transfer approach enables ultra‐thin temperature sensors to be transferred from a super‐hydrophilic donor substrate onto rigid, curved, and biological receiver substrates. By combining controlled wetting with a conformal Parylene carrier layer, the method preserves stable thermal sensing performance while expanding the integration of ...
Hafiza Faiqa Maqsood, Annelot Nijkoops, Fahimeh Masoumi, Giuseppe Cantarella, Niko Münzenrieder, Riccardo Zamboni   +5 more
wiley   +1 more source

A multimodal adjoint-state formulation of Quantitative Photoacoustic Tomography with external acoustic sources. [PDF]

Photoacoustics
Segerlund M, Löfqvist T.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Reducing Complexity in Muscle-Tendon Kinematics Parameterization Improves Convergence Speed in Musculoskeletal Simulations. [PDF]

Int J Numer Method Biomed Eng
Harba M, Badia J, Serrancolí G.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

On topological co-index polynomials for predictive modeling of the physicochemical properties of antiviral drugs. [PDF]

Sci Rep
Meharban S, Ullah A, Zaman S, Abd-Elmonem A, Ali P, Alhubieshi N, Belay MB.   +6 more
europepmc   +1 more source

SOC Mismatch–Driven Inter‐Particle Synchronization via Internal Li‐Ion Transfer: An Unrecognized Electrode‐Emergent Degradation Pathway in Ni‐Rich Composite Cathodes

Advanced Energy Materials, EarlyView.
Composite cathode degradation is not merely the sum of its particles. Kinetically mismatched populations develop state‐of‐charge differences that drive spontaneous internal Li‐ion transfer; the accompanying transient currents accelerate surface degradation.
Seheon Oh, Suyoung Kim, Inho Kim, Kangwoo Ahn, Min Wook Pin, Minkyu Kim   +5 more
wiley   +1 more source

Finding the Largest Root of a Polynomial with Recurrence Coefficients: An Analytical Form of Bernoulli's Method for Arbitrary Order

Юрий Васильев
openalex   +2 more sources

Advancing liquid scintillation spectra deconvolution for radiological characterization: comparative techniques for multi-isotope activity assessment. [PDF]

Anal Bioanal Chem
Pérez-Baeza M, Carlos S, Ginestar D, Sáez-Muñoz M, Martorell S.   +4 more
europepmc   +1 more source

The Path Chooses the Polynomial: Turning mathematical structure into faster, reusable computation

Richard Goodman, The Institute for Applied Ontological Mathematics   +1 more
openalex   +1 more source