Results 241 to 250 of about 1,566,449 (300)

Integrating physics and machine learning for unified seismic forward modeling and reservoir property inversion. [PDF]

Sci Rep
Zayier Y, Yalikun Y, Cheng Y, Yang D.
europepmc   +1 more source

Gauss–Newton and full Newton methods in frequency–space seismic waveform inversion

, 1998
G. Pratt, C. Shin, Hicks
semanticscholar   +1 more source

Chirality and Organization of Adsorbates Modify Surface Phonon Dynamics

Advanced Functional Materials, EarlyView.
Chirality and molecular organization are shown to influence surface phonon dynamics in gold films. Time‐resolved Joule heating measurements reveal that ordered homochiral monolayers increase the Debye temperature and disordered layers reduce it, while ordered racemic controls have no effect.
Meital Ozeri, Eugenia Pyurbeeva, Shira Yochelis, Jonas Fransson, Ronnie Kosloff, Oded Millo, Yossi Paltiel   +6 more
wiley   +1 more source

Accelerated Full Waveform Inversion by Deep Compressed Learning. [PDF]

Sensors (Basel)
Gelboim M, Adler A, Araya-Polo M.
europepmc   +1 more source

Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications

Advanced Functional Materials, EarlyView.
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi, Norma Mallegni, Andrea Dorigato, Mario Milazzo   +3 more
wiley   +1 more source

Inverse Analytical Formula for the Correction of Severe Barrel Lens Distortion Modelled by a Depressed Radial Distortion Polynomial. [PDF]

Sensors (Basel)
Ikokou GB, Shoko M, Tagoe ND.
europepmc   +1 more source

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Source identification of sudden water pollution events in the Dongliao River using a hybrid machine learning framework. [PDF]

Sci Rep
Wang Y, Wang Y, Shi P, Bian J, Chen C.
europepmc   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Integrated reservoir quality index (IRQI): a novel approach for reservoir quality assessment. [PDF]

Sci Rep
Leisi A, Kadkhodaie A, Kadkhodaie R.
europepmc   +1 more source