Artificial intelligence and machine learning in computational nanotoxicology: unlocking and empowering nanomedicine
AV Singh, MHD Ansari, D Rosenkranz… - Advanced …, 2020 - Wiley Online Library
Advances in nanomedicine, coupled with novel methods of creating advanced materials at
the nanoscale, have opened new perspectives for the development of healthcare and …
the nanoscale, have opened new perspectives for the development of healthcare and …
Quantitative structure–property relationship modeling of diverse materials properties
The design and synthesis of materials with useful, novel properties is one of the most active
areas of contemporary science, generating a veritable explosion of scientific activity in areas …
areas of contemporary science, generating a veritable explosion of scientific activity in areas …
Artificial intelligence and machine learning empower advanced biomedical material design to toxicity prediction
AV Singh, D Rosenkranz, MHD Ansari… - Advanced Intelligent …, 2020 - Wiley Online Library
Materials at the nanoscale exhibit specific physicochemical interactions with their
environment. Therefore, evaluating their toxic potential is a primary requirement for …
environment. Therefore, evaluating their toxic potential is a primary requirement for …
Modeling of cetane number of biodiesel from fatty acid methyl ester (FAME) information using GA-, PSO-, and HGAPSO-LSSVM models
One of the major properties of biodiesel fuels is cetane number (CN) which expresses the
ignition characteristics and quality of motor power. The main idea of this work was proposing …
ignition characteristics and quality of motor power. The main idea of this work was proposing …
Advancing risk assessment of engineered nanomaterials: application of computational approaches
Nanotechnology that develops novel materials at size of 100 nm or less has become one of
the most promising areas of human endeavor. Because of their intrinsic properties …
the most promising areas of human endeavor. Because of their intrinsic properties …
Fullerenes in liquid media: an unsettling intrusion into the solution chemistry
NO Mchedlov-Petrossyan - Chemical reviews, 2013 - ACS Publications
The compound C60 was successively predicted, 1, 2 revealed, 3 and prepared in
macroscopic quantities 4 within a 20 year period from 1970 to 1990. This molecule repeats …
macroscopic quantities 4 within a 20 year period from 1970 to 1990. This molecule repeats …
Intelligent model for prediction of CO2–Reservoir oil minimum miscibility pressure
Multiple contact miscible floods such as injection of relatively inexpensive gases into oil
reservoirs are considered as well-established enhanced oil recovery (EOR) techniques for …
reservoirs are considered as well-established enhanced oil recovery (EOR) techniques for …
Toward the development of “nano‐QSARs”: advances and challenges
The most significant achievements and challenges relating to an application of quantitative
structure–activity relationship (QSAR) approach in the risk assessment of nanometer‐sized …
structure–activity relationship (QSAR) approach in the risk assessment of nanometer‐sized …
Determination of bubble point pressure and oil formation volume factor: Extra trees compared with LSSVM-CSA hybrid and ANFIS models
Successful field development relies on effective reservoir management, which, in turn, is, to
a great extent, influenced by the knowledge of reservoir fluid properties and phase …
a great extent, influenced by the knowledge of reservoir fluid properties and phase …
Chemometrics tools in QSAR/QSPR studies: A historical perspective
S Yousefinejad, B Hemmateenejad - Chemometrics and Intelligent …, 2015 - Elsevier
One of the most extended subfields of chemometrics, at least by considering the number of
publications and interested researchers, is QSAR/QSPR. During the time, various improved …
publications and interested researchers, is QSAR/QSPR. During the time, various improved …