Concepts and Application of DNA Origami and DNA Self-Assembly: A Systematic Review

With the arrival of the post-Moore Era, the development of traditional silicon-based computers has reached the limit, and it is urgent to develop new computing technology to meet the needs of science and life. DNA computing has become an essential branch and research hotspot of new computer technology because of its powerful parallel computing capability and excellent data storage capability. Due to good biocompatibility and programmability properties, DNA molecules have been widely used to construct novel self-assembled structures. In this review, DNA origami is briefly introduced firstly. Then, the applications of DNA self-assembly in material physics, biogenetics, medicine, and other fields are described in detail, which will aid the development of DNA computational model in the future.

Preface

It is with great pleasure that I introduce the proceedings of the 3rd International Conference on Advance Engineering and Technology (ICATECH 2021) is an international seminar organized by Institut Teknologi Adhi Tama Surabaya (ITATS). ITATS is private university located in Surabaya, East Java, Indonesia. The conference is held on October 2nd 2021. This seminar has the main purpose to bring researcher and scholar to share their knowledge and experience in Computational Science, Environmental and Earth science, Applied Science and Technology, Chemical physics and physical chemistry, Renewable Energy and Integration Electrical Science Material Physics, materials analysis, and characterization. The conference serves as an excellent opportunity to meet each other and to exchange ideas with theme of “Opportunities and Challenges for Research and Technology Enhancement in Post Covid-19 era”. List of Editor, Special Thanks To Our Keynote Speaker, Organizing Committee, Scientific Commiittee are available in this pdf.

Toy Models of Top Down Causation

Models in which causation arises from higher level structures as well as from microdynamics may be relevant to unifying quantum theory with classical physics or general relativity. They also give a way of defining a form of panprotopsychist property dualism, in which consciousness and material physics causally affect one another. I describe probabilistic toy models based on cellular automata that illustrate possibilities and difficulties with these ideas.

Review of Plasma-Induced Hall Thruster Erosion

The Hall thruster is a high-efficiency spacecraft propulsion device that utilizes plasma to generate thrust. The most common variant of the Hall thruster is the stationary plasma thruster (SPT). Erosion of the SPT discharge chamber wall by plasma sputtering degrades thruster performance and ultimately ends thruster life. Many efforts over the past few decades have endeavored to understand wall erosion so that novel thrusters can be designed to operate for the thousands of hours required by many missions. However, due to the challenges presented by the plasma and material physics associated with erosion, a complete understanding has thus far eluded researchers. Sputtering rates are not well quantified, erosion features remain unexplained, and computational models are not yet predictive. This article reviews the physics of plasma-induced SPT erosion, highlights important experimental findings, provides an overview of modeling efforts, and discusses erosion mitigation strategies.

Development of Analogy-Based Material Physics Module to Provide Analogy Ability of Physics Teachers Candidates

It is known that the 'electronic structure of atoms' in material physics is microscopic. This atomic structure has an abstract and complicated concept, therefore good analogy skills are needed to study comprehensively. This research develops a free analogy-based material physics module to supply analogy skills to prospective physics teacher students. Module development uses the 4D model namely Define, Design, Development and Disseminate. The feasibility aspects are required based on the presentation, content, and grammar. Data obtained from expert assessment and trials using questionnaires, interviews, and tests. Increased student analogy skills were analyzed using normalized N-gain. The results obtained are: (1) the characteristics of the module that has learning steps such as teaching with analogy models, namely: introducing the concept of targets, reviewing the concept of analogies, identifying the relevant nature of targets and analogies, mapping analogies with targets, identifying analogies that are not relevant to targets, and make conclusions, (2) module quality on atomic electronic structure material developed is categorized as feasible, (3) modules are proven to increase mastery of the concept of atomic electronic structure (N-gain = 54%) and analytical skills prospective teachers physics (N-gain = 56%). The development of physics modules based on free analogies can be applied to other learning, such as biology, chemistry, and mathematics to explain abstract material.

‘My Hand Would Dissolve, Or Seem to Melt’

Early modern English literary texts resound with references to ‘melting’ and ‘dissolving’—persons, the earthly environment, and the larger cosmos are associated with dissolution. This concern with melting and dissolving originates in Stoic physics: as with Galen’s model of the humoral body, Stoics understood the material universe to be composed of a fiery liquid known as pneuma. The inheritance of Stoic theories of cosmology and material physics provided early moderns with a vibrant and dynamic way of understanding matter; this material understanding inflected the experience of the body as well as expectations for the behaviour of the earthly environment and the wider cosmos. Stoic physics thus influenced not only the particular idea of the humoral body, but the very relationship of human and environment and corresponding affective states. This influence is exemplified in Shakespeare’s Antony and Cleopatra.

A New Benchmark Set for Excitation Energy of Charge Transfer States: Systematic Investigation of Coupled-Cluster Type Methods

There are numerous publications on benchmarking quantum chemistry methods for excited states. These studies rarely include Charge Transfer (CT) states although many interesting phenomena in e.g. biochemistry and material physics involve transfer of electron between fragments of the system. Therefore, it is timely to test the accuracy of quantum chemical methods for CT states, as well. In this study we first suggest a set benchmark systems consisting of dimers having low-energy CT states. On this set, the excitation energy has been calculated with coupled cluster methods including triple excitations (CC3, CCSDT-3, CCSD(T)(a)* ), as well as with methods including full or approximate doubles (CCSD, STEOM-CCSD, CC2, ADC(2), EOM-CCSD(2)). The results show that the popular CC2 and ADC(2) methods are much more inaccurate for CT states than for valence states. On the other hand, CCSD seems to have similar systematic overestimation of the excitation energies for both valence and CT states. Concerning triples methods, the new CCSD(T)(a)* method including non-iterative triple excitations preforms very well for all type of states, delivering essentially CCSDT quality results.<br>

A New Benchmark Set for Excitation Energy of Charge Transfer States: Systematic Investigation of Coupled-Cluster Type Methods

There are numerous publications on benchmarking quantum chemistry methods for excited states. These studies rarely include Charge Transfer (CT) states although many interesting phenomena in e.g. biochemistry and material physics involve transfer of electron between fragments of the system. Therefore, it is timely to test the accuracy of quantum chemical methods for CT states, as well. In this study we first suggest a set benchmark systems consisting of dimers having low-energy CT states. On this set, the excitation energy has been calculated with coupled cluster methods including triple excitations (CC3, CCSDT-3, CCSD(T)(a)* ), as well as with methods including full or approximate doubles (CCSD, STEOM-CCSD, CC2, ADC(2), EOM-CCSD(2)). The results show that the popular CC2 and ADC(2) methods are much more inaccurate for CT states than for valence states. On the other hand, CCSD seems to have similar systematic overestimation of the excitation energies for both valence and CT states. Concerning triples methods, the new CCSD(T)(a)* method including non-iterative triple excitations preforms very well for all type of states, delivering essentially CCSDT quality results.<br>